Bi-objective power dispatch using fuzzy satisfaction-maximizing decision approach

Author

Huang, Chao-Ming ; Yang, Hong-Tzer ; Huang, Ching-Lien

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

12

Issue

4

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

1715

Lastpage

1721

Abstract

A fuzzy satisfaction-maximizing decision approach is presented to solve the bi-objective power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NO_x emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of noninferior solutions are obtained. For each noninferior solution achieved, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered and hence the final best compromise solution. Numerical results of the IEEE 30-bus 6-generator test systems are presented to demonstrate the proposed fuzzy satisfaction-maximizing decision approach

Keywords

control system analysis computing; control system synthesis; fuzzy control; load dispatching; optimal control; power system analysis computing; power system control; NO; NO_x emission; bi-objective power dispatch; computer simulation; fuzzy satisfaction-maximizing decision approach; fuzzy utility functions; marginal rate of substitution; minimum environmental impact; minimum fuel cost; noninferior solutions; objective weight factors; power systems; system operators; Chaos; Cost function; Environmental economics; Fuel economy; Fuzzy sets; Fuzzy systems; Pollution; Power generation; Power generation economics; Power system economics;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.627881

Filename

627881